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Article | Open Access

Whole system value of long-duration electricity storage in systems with high penetration of renewables

Danny Pudjianto( )Goran Strbac
Department of Electrical and Electronic Engineering, Imperial College London, UK
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Abstract

Energy storage is a key enabling technology to facilitate an efficient system integration of intermittent renewable generation and support energy system decarbonisation. However, there are still many open questions regarding the design, capacity, and value of long-duration electricity storage (LDES), the synergy or competition with other flexibility technologies such as demand response, short-duration storage, and other forms of energy storage such as hydrogen storage. This paper presents a novel integrated formulation of electricity and hydrogen systems to identify the roles and quantify the value of long-duration energy storage holistically. A spectrum of case studies has been performed using the proposed approach on a future 2050 net-zero emission system background of Great Britain (GB) with a high share of renewable generation and analysed to identify the value drivers, including the impact of prolonged low wind periods during winter, the impact of different designs of LDES, and its competitiveness and synergy with other technologies. The results demonstrate that high storage capacity can affect how the energy system will evolve and help reduce system costs.

References

1
Weather and climate change risks in a highly renewable UK energy system—NIC. Available at https://nic.org.uk/studies-reports/national-infrastructure-assessment/weather-and-climate-change-risks-in-a-highly-renewable-uk-energy-system/. Accessed 14 Nov 2021.
2

Bathurst, G. N., Weatherill, J., Strbac, G. (2002). Trading wind generation in short term energy markets. IEEE Transactions on Power Systems, 17: 782–789.

3

Black, M., Strbac, G. (2007). Value of bulk energy storage for managing wind power fluctuations. IEEE Transactions on Energy Conversion, 22: 197–205.

4
Eyer, J., Corey, G. (2011). Energy storage for the electricity grid: Benefits and market potential assessment guide. Sandia National Laboratories, Albuquerque, NM, USA.https://doi.org/10.2172/1031895
5
Such MC, Hill C (2012). Battery energy storage and wind energy integrated into the Smart Grid. 2012 IEEE PES Innovative Smart Grid Technologies. January 16-20, 2012, Washington, DC, USA.https://doi.org/10.1109/ISGT.2012.6175772
6

Hill, C. A., Such, M. C., Chen, D., Gonzalez, J., Grady, W. M. (2012). Battery energy storage for enabling integration of distributed solar power generation. IEEE Transactions on Smart Grid, 3: 850–857.

7

Sturt, A., Strbac, G. (2012). Efficient stochastic scheduling for simulation of wind-integrated power systems. IEEE Transactions on Power Systems, 27: 323–334.

8

Garcia-Gonzalez J, de la Muela RMR, Santos LM, Gonzalez AM. (2008). Stochastic joint optimization of wind generation and pumped-storage units in an electricity market. IEEE Transactions on Power Systems, 23: 460–468.

9

Swider, D. J. (2007). Compressed air energy storage in an electricity system with significant wind power generation. IEEE Transactions on Energy Conversion, 22: 95–102.

10
Geurin, S. O., Barnes, A. K., Balda, J. C. (2012). Smart grid applications of selected energy storage technologies. In: Proceedings of the 2012 IEEE PES Innovative Smart Grid Technologies, Washington, DC, USA.https://doi.org/10.1109/ISGT.2012.6175626
11

Brekken, T. K. A., Yokochi, A., von Jouanne, A., Yen, Z. Z., Hapke, H. M., Halamay, D. A. (2011). Optimal energy storage sizing and control for wind power applications. IEEE Transactions on Sustainable Energy, 2: 69–77.

12

Hu, P., Billinton, R., Karki, R. (2009). Reliability evaluation of generating systems containing wind power and energy storage. IET Generation, Transmission & Distribution, 3: 783–791.

13

Wang, P., Gao, Z. Y., Bertling, L. (2012). Operational adequacy studies of power systems with wind farms and energy storages. IEEE Transactions on Power Systems, 27: 2377–2384.

14

Oh, H. (2010). Optimal planning to include storage devices in power systems. IEEE Transactions on Power Systems, 26: 1118–1128.

15

Bludszuweit, H., Dominguez-Navarro, J. A. (2011). A probabilistic method for energy storage sizing based on wind power forecast uncertainty. IEEE Transactions on Power Systems, 26: 1651–1658.

16

Thatte, A. A., Xie, L. (2012). Towards a unified operational value index of energy storage in smart grid environment. IEEE Transactions on Smart Grid, 3: 1418–1426.

17

Oudalov, A., Chartouni, D., Ohler, C. (2007). Optimizing a battery energy storage system for primary frequency control. IEEE Transactions on Power Systems, 22: 1259–1266.

18

Weitemeyer, S., Kleinhans, D., Vogt, T., Agert, C. (2015). Integration of renewable energy sources in future power systems: The role of storage. Renewable Energy, 75: 14–20.

19

Dowling, J. A., Rinaldi, K. Z., Ruggles, T. H., Davis, S. J., Yuan, M. Y., Tong, F., Lewis, N. S., Caldeira, K. (2020). Role of long-duration energy storage in variable renewable electricity systems. Joule, 4: 1907–1928.

20

Tejada-Arango, D. A., Domeshek, M., Wogrin, S., Centeno, E. (2018). Enhanced representative days and system states modeling for energy storage investment analysis. IEEE Transactions on Power Systems, 33: 6534–6544.

21

Cebulla, F., Naegler, T., Pohl, M. (2017). Electrical energy storage in highly renewable European energy systems: capacity requirements, spatial distribution, and storage dispatch. Journal of Energy Storage, 14: 211–223.

22
Yue, M., Zhao, T., Raghunathan, N., Luh, P., Yan, B., Bragin, M. (2021). Stochastic sizing and operation of grid-level energy storage systems under intermittent renewable generation and increasing load forecasting uncertainties. Available at https://www.bnl.gov/isd/docs/ess-final-report-jul-31-2021.pdf.
23

Zhang, J. Z., Guerra, O. J., Eichman, J., Pellow, M. A. (2020). Benefit analysis of long-duration energy storage in power systems with high renewable energy shares. Frontiers in Energy Research, 8: 527910.

24

Hunter, C. A., Penev, M. M., Reznicek, E. P., Eichman, J., Rustagi, N., Baldwin, S. F. (2021). Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids. Joule, 5: 2077–2101.

25

Lata-García, J., Jurado, F., Fernández-Ramírez, L. M., Parra, P., Larco, V. (2019). Techno-economic analysis of several energy storage options for off-grid renewable energy systems. Acta Polytechnica Hungarica, 16: 119–141.

26
Strbac, G., Aunedi, M., Pudjianto, D., Djapic, P., Teng, F., Sturt, A., Jackravut, D., Sansom, R., Yufit, V., Brandon, N. (2012). Strategic assessment of the role and value of energy storage systems in the UK low carbon energy future. Imperial College London, London, UK.
27

Fu, P., Pudjianto, D., Zhang, X., Strbac, G. (2020). Integration of hydrogen into multi-energy systems optimisation. Energies, 13: 1606.

28

Teng, F., Aunedi, M., Pudjianto, D., Strbac, G. (2015). Benefits of demand-side response in providing frequency response service in the future GB power system. Frontiers in Energy Research, 3: 36.

29
FICO® Xpress Optimization. Available athttps://www.fico.com/en/products/fico-xpress-optimization. Accessed 09 Jan 2019.
30
Strbac, G., Pudjianto, D., Sansom, R., Djapic, P., Ameli, H., Shah, N., Brandon, N., Qadrdan, M. (2018). Analysis of alternative UK heat decarbonisation pathways. Imperial College London, London, UK.
31
Strbac, G., Aunedi, M., Pudjianto, D., Teng, F., Djapic, P., Druce, R., Carmel, A., Borkowski, K. (2015). Value of flexibility in a decarbonised grid and system externalities of low-carbon generation technologies. Imperial College London, London, UK.
iEnergy
Pages 114-123
Cite this article:
Pudjianto D, Strbac G. Whole system value of long-duration electricity storage in systems with high penetration of renewables. iEnergy, 2022, 1(1): 114-123. https://doi.org/10.23919/IEN.2022.0004

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Received: 23 November 2021
Revised: 28 January 2022
Accepted: 18 February 2022
Published: 25 March 2022
© The author(s) 2022

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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